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Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
J ** forest height and aboveground biomass by integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 data using Random Forest algorithm in northwest Himalayan …
The present study aims to map forest canopy height by integrating ICESat‐2 and Sentinel‐1
data and investigate the effect of integrating forest canopy height information with Sentinel‐2 …
data and investigate the effect of integrating forest canopy height information with Sentinel‐2 …
Urban tree species map** using hyperspectral and lidar data fusion
In this study we fused high-spatial resolution (3.7 m) hyperspectral imagery with 22 pulse/m
2 lidar data at the individual crown object scale to map 29 common tree species in Santa …
2 lidar data at the individual crown object scale to map 29 common tree species in Santa …
[HTML][HTML] High spatial resolution three-dimensional map** of vegetation spectral dynamics using computer vision
JP Dandois, EC Ellis - Remote Sensing of Environment, 2013 - Elsevier
High spatial resolution three-dimensional (3D) measurements of vegetation by remote
sensing are advancing ecological research and environmental management. However …
sensing are advancing ecological research and environmental management. However …
Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data
This study proposed modifying the conceptual approach that is commonly used to model
development of stand attribute estimates using airborne LiDAR data. New models were …
development of stand attribute estimates using airborne LiDAR data. New models were …
[HTML][HTML] Above-ground biomass estimation from LiDAR data using random forest algorithms
L Torre-Tojal, A Bastarrika, A Boyano… - Journal of …, 2022 - Elsevier
Random forest (RF) models were developed to estimate the biomass for the Pinus radiata
species in a region of the Basque Autonomous Community where this species has high …
species in a region of the Basque Autonomous Community where this species has high …
[HTML][HTML] A systematic review of the factors influencing the estimation of vegetation aboveground biomass using unmanned aerial systems
L G. Poley, G J. McDermid - Remote Sensing, 2020 - mdpi.com
Interest in the use of unmanned aerial systems (UAS) to estimate the aboveground biomass
(AGB) of vegetation in agricultural and non-agricultural settings is growing rapidly but there …
(AGB) of vegetation in agricultural and non-agricultural settings is growing rapidly but there …